code: def __init__(
      self,  # pytype: disable=annotation-type-mismatch  # numpy-scalars
      img_dtype: np.dtype = np.float32,
      img_fill_value: float = 0.0,
      steps_to_terminal: int = 1,
  ):
      self._physics = mock.MagicMock()
      self._physics.render = get_mock_render(img_dtype, img_fill_value)
      self._steps_remaining = steps_to_terminal
  
imports: import collections
  from typing import Callable, Mapping
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  from dm_control import suite
  from dm_control.rl import control
  import dm_env
  from dm_env import specs
  from dopamine.labs.sac_from_pixels import deepmind_control_lib
  import numpy
label_desc: Use image node_id 1 to create a new MockDeepmindControlSuiteEnvironment object from inherited base classes: control with example: obj = MockDeepmindControlSuiteEnvironment(img_dtype, img_fill_value, steps_to_terminal)